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GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
15 years 28 days ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
GECCO
2008
Springer
114views Optimization» more  GECCO 2008»
15 years 28 days ago
Strategic positioning in tactical scenario planning
Capability planning problems are pervasive throughout many areas of human interest with prominent examples found in defense and security. Planning provides a unique context for op...
James M. Whitacre, Hussein A. Abbass, Ruhul A. Sar...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 28 days ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 28 days ago
How social structure and institutional order co-evolve beyond instrumental rationality
This study proposes an agent-based model where adaptively learning agents with local vision who are situated in the Prisoner’s Dilemma game change their strategy and location as...
Jae-Woo Kim
ATAL
2010
Springer
15 years 1 days ago
Using answer set programming to model multi-agent scenarios involving agents' knowledge about other's knowledge
One of the most challenging aspects of reasoning, planning, and acting in a multi-agent domain is reasoning about what the agents know about the knowledge of their fellows, and to...
Chitta Baral, Gregory Gelfond, Tran Cao Son, Enric...